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Enregistrement W161845654 · doi:10.31274/etd-180810-2034

Investigating the causes of foam formation in deep pit swine manure storages

2014· dissertation· en· W161845654 sur OpenAlexaboutno aff
Mark B. Van Weelden

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineEngineering
ThématiqueMetal Extraction and Bioleaching
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésManureManure managementWaste managementEnvironmental scienceEngineeringBiologyAgronomy

Résumé

récupéré en direct d'OpenAlex

The appearance of foam on the surface of deep pit swine manure storages throughout the United States and Canada is a serious concern for the pork industry. In addition to logistical issues caused by foam accumulation in deep pits, manure foam has the capacity to trap gases produced by the anaerobic decomposition of manure, leading to dangerous flammable gas concentrations upon agitation or foam disturbance. Recent flash fires and explosions at several swine facilities have created a pressing need to understand and mitigate the causes of foaming deep pits.\nA number of hypotheses regarding the contributing factors of foam formation exist. These include the presence of surface active agents (proteins, volatile fatty acids, detergents, lipids, biosurfactants, etc.) that enable foam generation, the presence of hydrophobic solids that stabilize foam, the presence of certain feed components that may contribute to the foaming mechanism, the rate of biogas production from the waste, or any combination of these and other physical, chemical, and microbiological characteristics of the manure slurry. Despite a broad understanding of the aspects of foaming systems, there is a lack of knowledge of the mechanism that causes foam to stabilize in anaerobic environments. The objective of this research was to better understand foaming manure systems from a "three-phase system" approach; that is, to research the solid, liquid, and gas phases of swine manure in deep pits and how they contribute to stabilized foam. Foam mitigation strategies were considered after these aspects of foaming systems were investigated.\nThe two studies presented in this thesis included extensive analysis of swine manure sampled from both commercial deep pits and controlled dietary studies. The first study was a field study, with manure samples collected from over 50 swine facilities in Iowa over 13 months. These samples were analyzed for a number of parameters including temperature, pH, total and volatile solids, short-chain and long-chain fatty acid concentration, biochemical methane potential, methane production rate, surface tension, foaming capacity index, and foam stability. An extensive database was compiled so that these parameters could be compared based on the extent of foam accumulation at the sampling site. The second study involved a controlled dietary study, where the impact of carbohydrate and protein sources on foaming parameters was measured. The results allowed us to understand the direct impact of feed components on swine manure parameters, as well as to compare the manure collected from these controlled trials to samples taken from commercial deep pits.\nAs a whole, these studies showed that swine manure from barns with foam accumulation exhibited significantly different trends in many biological and physicochemical parameters when compared to manure from non-foaming barns. Most notably, the rate at which biogas was generated in foaming barns was much greater than in non-foaming barns, indicating a much greater presence of the "gas phase" in foaming barns. At the same time, non-foaming barns showed a greater potential for cumulative biogas production and larger concentrations of important substrate such as short-chain fatty acids. Taken together, we see that the microbial consortium in foaming barns allows them to function as more efficient digesters, producing a greater methane flux through foaming pits, which is the driving force of foam formation. Manure collected from the surface of foaming systems was also able to produce foam at a greater capacity in laboratory tests when compared to manure from non-foaming systems, and also showed an enhanced ability to stabilize in the testing apparatus. These tests and others indicated an accumulation of a surfactant and/or stabilizing agent at the surface of foaming barns which promotes foam generation and stability. Other important differences in the temperature trends, pH, solids profiles, and surface tension measurements led to a greater understanding of the behavior of foaming swine manure deep pits. Overall, this knowledge can lead to more directed solutions, specifically in exploring sustainable ways to control the activity of the microbial community within deep pits.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,360
Score d'incertitude au seuil0,400

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,243
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

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